Detailed architectural design of NeuronScope: AI Kernel, Runtime Engine, Workflow Engine, Scheduler, Event Bus, Messaging Broker, Plugin Framework, and Governance Engine.
The 8-layer architecture model from Infrastructure to Dashboard.
The codebase structure and architectural module boundaries.
Inter-engine dependencies and event bus routing.
Third-party dependencies, isolation rules, and justifications.
How sequential, parallel, and multi-agent workflows execute.
How adapters, engines, probes, and plugins register and resolve.
Where security rules, RBAC, and compliance policies are enforced.
The binary write path of .nsz telemetry artifacts.
How two telemetry runs are aligned and diffed for regressions.
The hashing pipeline for models, datasets, and prompts.
The telemetry collection and analysis execution path.
Discovery, sandbox isolation, versioning, and API stability contracts.
AI Digital Twins, Predictive Engineering, and Self-Improving Infrastructure.
The internal engines powering NeuronScope.
Explorable SVG diagrams of platform architecture flows.
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